关键词: 多通道成像系统, 结构张量矩阵, 归一化卷积, 图像重建

Abstract: The technique of image super-resolution reconstruction is a focus in the field of digital image, and applied to a wide range of fields. This paper presents an image reconstruction algorithm that combines the characteristics of multi-channel optical imaging system with improved adaptive normalized convolution super-resolution reconstruction algorithm. The experimental results show that, according to the anisotropic Gaussian kernel obtained by constructing the structure tensor matrix, compared with other methods, the super-resolution image reconstruction based on adaptive normalized convolution can greatly improve signal to noise ratio and improve image quality.

Key words: multi-channel imaging system, structure tensor matrix, normalized convolution, image reconstruction